Is anyone working on conversation compaction?
英文标题:Is anyone working on conversation compaction?
In our chat app "harness" we recursively generate summaries, L1 → L2 → L3. L1 summaries are more factual extraction than coherence, then get rolled into a more storytelling L2. Then we keep a tail of always ~10 raw messages with timestamps. We're not coding so this keeps context really clean like 5-
打开原文相关 2 · 机会 0
中文
In our chat app "harness" we recursively generate summaries, L1 → L2 → L3. L1 summaries are more factual extraction than coherence, then get rolled into a more storytelling L2. Then we keep a tail of always ~10 raw messages with timestamps. We're not coding so this keeps context really clean like 5-
中文全文翻译正在补齐,可先查看下方英文原文。
English / 原文
In our chat app "harness" we recursively generate summaries, L1 → L2 → L3. L1 summaries are more factual extraction than coherence, then get rolled into a more storytelling L2. Then we keep a tail of always ~10 raw messages with timestamps. We're not coding so this keeps context really clean like 5-